Distributed detection of sparse signals in radar networks via locally most powerful test

Advanced Sparsity-Driven Models and Methods for Radar Applications ◽

10.1049/sbra535e_ch8 ◽

2020 ◽

pp. 221-246

Keyword(s):

Distributed Detection ◽

Sparse Signals ◽

Powerful Test ◽

Radar Networks ◽

Locally Most Powerful Test

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Distributed Detection of Sparse Signals With Censoring Sensors Via Locally Most Powerful Test

IEEE Signal Processing Letters ◽

10.1109/lsp.2020.2970580 ◽

2020 ◽

Vol 27 ◽

pp. 346-350 ◽

Author(s):

Chengxi Li ◽

Gang Li ◽

Pramod K. Varshney

Keyword(s):

Distributed Detection ◽

Sparse Signals ◽

Powerful Test ◽

Locally Most Powerful Test

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A locally most powerful test for homogeneity with many strata

10.1093/biomet/74.2.259 ◽

1987 ◽

Vol 74 (2) ◽

pp. 259-264 ◽

Author(s):

KUNG-YEE LIANG

Keyword(s):

Powerful Test ◽

Locally Most Powerful Test

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Secure Distributed Detection of Sparse Signals via Falsification of Local Compressive Measurements

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2019.2931204 ◽

2019 ◽

Vol 67 (18) ◽

pp. 4696-4706 ◽

Author(s):

Chengxi Li ◽

Gang Li ◽

Bhavya Kailkhura ◽

Pramod K. Varshney

Keyword(s):

Distributed Detection ◽

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The locally most powerful test for multiantenna spectrum sensing with uncalibrated receivers

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2012.6288655 ◽

2012 ◽

Author(s):

David Ramirez ◽

Javier Via ◽

Ignacio Santamaria ◽

Ignacio Santamaría

Keyword(s):

Spectrum Sensing ◽

Powerful Test ◽

Locally Most Powerful Test

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A QUASI-LOCALLY MOST POWERFUL TEST FOR CORRELATION IN THE CONDITIONAL VARIANCE OF POSITIVE DATA

Australian & New Zealand Journal of Statistics ◽

10.1111/j.1467-842x.2010.00596.x ◽

2011 ◽

Vol 53 (1) ◽

pp. 43-62

Author(s):

Brendan P. M. McCabe ◽

Gael M. Martin ◽

Keith Freeland

Keyword(s):

Conditional Variance ◽

Powerful Test ◽

Positive Data ◽

Locally Most Powerful Test

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Distributed Detection of Sparse Signals With Physical Layer Secrecy Constraints: A Falsified Censoring Strategy

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2020.3028700 ◽

2020 ◽

Vol 68 ◽

pp. 6040-6054

Author(s):

Chengxi Li ◽

Gang Li ◽

Pramod K. Varshney

Keyword(s):

Physical Layer ◽

Distributed Detection ◽

Sparse Signals ◽

Physical Layer Secrecy

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A certain locally most powerful test for one-way random effects model: full distribution and power considerations

Communication in Statistics- Theory and Methods ◽

10.1080/03610929008830432 ◽

1990 ◽

Vol 19 (11) ◽

pp. 4135-4151 ◽

Author(s):

Ann Clemmens ◽

Z. Govindarajulu

Keyword(s):

Random Effects ◽

Random Effects Model ◽

Powerful Test ◽

Locally Most Powerful Test

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Distributed Detection of Sparse Signals with 1-Bit Data in Two-Level Two-Degree Tree-Structured Sensor Networks

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp40776.2020.9053687 ◽

2020 ◽

Author(s):

Chengxi Li ◽

Gang Li ◽

Pramod K. Varshney

Keyword(s):

Sensor Networks ◽

Distributed Detection ◽

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A Locally Most Powerful Test for the Symmetric Folded Binomial Distribution

10.2307/2529049 ◽

1970 ◽

Vol 26 (1) ◽

pp. 129 ◽

Author(s):

John J. Gart

Keyword(s):

Binomial Distribution ◽

Powerful Test ◽

Locally Most Powerful Test

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Locally most powerful test for testing the equality of variances of two linear models with common regression parameters

Statistics & Probability Letters ◽

10.1016/0167-7152(91)90133-c ◽

1991 ◽

Vol 11 (2) ◽

pp. 149-153 ◽

Author(s):

Manzoor Ahmad ◽

Yogendra P. Chaubey

Keyword(s):

Linear Models ◽

Powerful Test ◽

Regression Parameters ◽

Locally Most Powerful Test

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